How to use UsefulSensors/moonshine with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://UsefulSensors/moonshine")
Upload CTranslate2 binaries + config files for moonshine base and tiny.
Using these models with CTranslate2 will require a local build of CTranslate2 with changes from this PR until the PR has been merged and the wheel updated on pypi
Ok to merge
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